Gospel U.

Key Skills

Software

AWS SageMaker

Axiom AI

Data Annotation Tech

Top Subject Matter

Risk analysis and fraud detection

Top Data Types

Computer Code Programming

Video

Text

Top Task Types

Classification

Text Generation

Question Answering

Freelancer Overview

Customer Care Service Representative. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Degree, University of Calabar (2015). I have experience working with data analysis, business consulting, and technology-focused tasks that require strong attention to detail, organization, and accuracy. My background has helped me develop skills relevant to data labeling and AI training data projects, including data organization, pattern recognition, quality control, and analytical thinking. I am highly adaptable, able to multitask efficiently, and capable of working under pressure while maintaining consistency and precision. My decision-making ability and commitment to delivering high-quality results make me effective in handling large datasets, reviewing annotations, and supporting AI model improvement processes. In addition to my technical and analytical strengths, I hold a Master’s degree and have built experience in problem-solving, communication, and digital tools that support modern AI and data operations. My interests in data analytics and technology have equipped me with the ability to understand structured and unstructured data, follow detailed project guidelines, and contribute to accurate training datasets for machine learning systems. What sets me apart is my combination of analytical mindset, fast learning ability, reliability, and dedication to producing accurate, high-quality work that supports successful AI model development.

Labeling Experience

AI training data annotation specialist

TextClassification

Worked on AI training data annotation and text classification projects focused on improving machine learning model accuracy and data quality. Responsibilities include reviewing, categorizing, and labeling large volumes of text data according to project guidelines and quality standards. Performed sentiment analysis, content categorization and data verification tasks while ensuring consistency, precision, and timely delivery. Collaborated with project teams to maintain annotation accuracy and support AI model training processes through structured and high-quality datasets.

2024 - Present

Education

Work History